From a single-purpose service to a broader employee benefit.
Recognising that a product could be relevant to more people, more often, then creating an education experience to make the opportunity tangible.
- Context
- Employee benefits & life education
- My role
- Product definition, design & AI-assisted creation
The customer portal brings life and money topics together, with search, categories and illustrated articles.
Captured 16 October 2026
An idea becomes something useful.
Follow a representative article from a team member’s idea to the customer portal. Select a step to see who does what.
“Could we make buying a first home feel less overwhelming?”
A first-time buyer’s guide
- For
- Employees buying their first home
- Purpose
- Explain the practical starting points
- Format
- A clear, approachable guide
Start with a question worth answering.
A team member spots a subject that could help employees. They turn the idea into a brief: who it is for, what it should explain and the kind of article they want to create.
A first-time buyer’s guide
A practical introduction to the questions that come with buying a home.
Turn the brief into a first draft.
Claude generates content from the team’s brief. The article takes shape inside the publishing workflow, ready for the team to review and refine.
Make the article useful in different ways.
The Google API supplies the article imagery. ElevenLabs creates the audio. Each has a distinct role in the content workflow.
Compliance review
Content check against FCA requirements
- Review the content
- Surface review feedback
- Revise where needed
What if the article needs changes?
Review feedback → team revisions → another content check → publication decision.
Review the content before publication.
A separate content check against FCA requirements produces feedback for the team. They review it, revise the article and decide what is ready to publish.
From the team’s workspace to the reader.
The team publishes the article into the customer experience. Employees can discover it in the library, read the guide and choose the audio version.
A useful service. A bigger opportunity.
Rest Easier started with an online will-writing proposition. I questioned whether competing mainly as a consumer service was the strongest route, and recommended an employer-benefits approach that the business adopted.
That opened up a second question. Will-writing matters, but it is not immediately relevant to everyone in a workforce. What could make the benefit useful to a wider group of employees?
Help people with the practical questions they encounter throughout life.
From one moment to everyday relevance.
I proposed a broader education experience covering practical UK financial and life topics: work, tax, housing, family finances and estate planning.
The product needed to make those subjects approachable for employees and manageable for the team creating and reviewing the content.
A working experience, with a workable content process.
I defined the education product, designed its interfaces and publishing workflow, and directed implementation using AI-assisted development tools. The work brought together a coherent design system, content management and a publishing experience for non-technical colleagues.
- Article generation through the Claude API.
- Compliance review against FCA requirements, separate from content generation.
- Article imagery through the Google API.
- Audio summaries through ElevenLabs.
- A customer portal organised around practical life topics.
Personalised content recommendations were explored as a future direction and were not fully implemented. They are not included here as a delivered capability.
£1.2m in qualified pipeline.
Alongside the product work, I developed a GTM engineering system for Rest Easier that generated £1.2m in qualified pipeline. This is pipeline value, rather than booked revenue.
Connecting the opportunity and the product.
My contribution spanned the commercial proposition, GTM systems, product definition, user experience, design system and direction of AI-assisted implementation. Engineering implementation and architectural decisions involved significant AI assistance.
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working together.
A product to shape, a process to improve or a role in your team. Tell me what you have in mind.
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